Computationally efficient Direct Model Predictive Control for three-level NPC back-to-back converter PMSG wind turbine systems

Direct Model Predictive Control (DMPC) is an interesting alternative to classical control methods for multi-level converters where more switching states are available. However, the computational load for conventional DMPC schemes to control multi-level converters is much higher than for modulation based (linear) controllers. Hence, real-time implementation might not be feasible in general. This paper presents two computationally efficient model predictive control schemes for wind turbine systems with three-level neutral-point clamped (NPC) voltage source back-to-back converter and permanent-magnet synchronous generator (PMSG). Both methods allow to reduce the computational load significantly while a similar control performance as with conventional methods can be maintained.     «

Direct Model Predictive Control (DMPC) is an interesting alternative to classical control methods for multi-level converters where more switching states are available. However, the computational load for conventional DMPC schemes to control multi-level converters is much higher than for modulation based (linear) controllers. Hence, real-time implementation might not be feasible in general. This paper presents two computationally efficient model predictive control schemes for wind turbine systems...     »